交通仿真信号优化SUMO

Arterial Signal Coordination & Simulation Validation

Jun 2025

Background

Arterials carry heavy commuter traffic; independent signals at adjacent intersections often cause a "red-wave". Green-wave coordination lets platoons pass continuously at the design speed, yet demand fluctuation and turning flows erode the benefit.

Objective

Design bi-directional green-wave timing under given geometry and demand to meaningfully reduce peak-hour delay and stops.

Method

Built a 6-intersection arterial in SUMO; used Webster method for cycle & split, then a MAXBAND-style graphical method for offset; TraCI collected queue & speed in real time to iteratively tune bandwidth.

Input
DemandNetwork
Method
ModelSolve
Output
MetricsCharts
SUMOTraCIPythonNumPy

Results & Analysis

Avg. Speed
10.11m/s
Sim. Flow
1000veh/h
Avg. Delay
21.4s/veh
Stops
1.32次/veh

24h 流量曲线

速度分布

密度热力图

Interactive Demo

Reflection

This project taught me that green-wave is a dynamic system rather than a static timing table—turning flows and pedestrian signals significantly perturb the bandwidth. Next step: online offset tuning via reinforcement learning.